Cite
Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems.
MLA
Vlachos, Michail, et al. “Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems.” IEEE Transactions on Knowledge & Data Engineering, vol. 31, no. 7, July 2019, pp. 1253–66. EBSCOhost, https://doi.org/10.1109/TKDE.2018.2829521.
APA
Vlachos, M., Dunner, C., Heckel, R., Vassiliadis, V. G., Parnell, T., & Atasu, K. (2019). Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems. IEEE Transactions on Knowledge & Data Engineering, 31(7), 1253–1266. https://doi.org/10.1109/TKDE.2018.2829521
Chicago
Vlachos, Michail, Celestine Dunner, Reinhard Heckel, Vassilios G. Vassiliadis, Thomas Parnell, and Kubilay Atasu. 2019. “Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems.” IEEE Transactions on Knowledge & Data Engineering 31 (7): 1253–66. doi:10.1109/TKDE.2018.2829521.